{"id":"W3094630155","doi":"10.1016/j.exis.2020.10.003","title":"Evaluation of Indigenous employability programs in the Canadian mining industry","year":2020,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Indigenous; Employability; Workforce; Government (linguistics); Work (physics); Business; Public relations; Political science; Economic growth; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629429,0.00008347565,0.00009450052,0.00001143988,0.0001766651,0.00004248883,0.0001343031,0.000188599,0.00001430455],"category_scores_gemma":[0.00007990617,0.00005212336,0.00003147774,0.0002590883,0.0001285799,0.00003927677,0.00001910495,0.0006300447,5.038224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106315,"about_ca_system_score_gemma":0.0001388599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007489112,"about_ca_topic_score_gemma":0.004835679,"domain_scores_codex":[0.9991698,0.0001267342,0.000132817,0.00009601744,0.0003035068,0.0001711442],"domain_scores_gemma":[0.9996683,0.00007847822,0.00003367543,0.00011202,0.00005552664,0.00005200923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000686687,0.0000511291,0.0823262,0.00006169613,0.0002507071,0.000002751661,0.6334077,0.01830642,0.00004411147,0.0001263432,0.003358116,0.262058],"study_design_scores_gemma":[0.0008093729,0.0001807221,0.4675881,0.00007903768,0.0002800872,0.000005192739,0.4755358,0.03604721,0.0002606975,0.0001573661,0.01871015,0.0003462374],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950013,0.0002125587,0.00001150893,0.001159358,0.00002779947,0.0003969496,0.000004950596,0.00001890753,0.003166636],"genre_scores_gemma":[0.9997059,0.00001233893,0.00002500398,0.0001354005,0.00006522702,0.00003523178,0.000003347237,0.000007375008,0.00001021307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852619,"threshold_uncertainty_score":0.9991201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09667517140751686,"score_gpt":0.2654374484771414,"score_spread":0.1687622770696245,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}